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30secondsofcode
2020-01-09 07:09:58 +00:00
parent 578a5cd357
commit f9423050b6
2 changed files with 55 additions and 14 deletions
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24
snippet_data/snippetList.json
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@ -482,14 +482,14 @@
"type": "snippetListing", "type": "snippetListing",
"title": "filter_non_unique", "title": "filter_non_unique",
"attributes": { "attributes": {
"text": "Filters out the non-unique values in a list.\n\nUse a `Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the unique values.\n\n", "text": "Filters out the non-unique values in a list.\n\nUse a `collections.Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the unique values.\n\n",
"tags": [ "tags": [
"list", "list",
"beginner" "beginner"
] ]
}, },
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{ {
@ -497,14 +497,30 @@
"type": "snippetListing", "type": "snippetListing",
"title": "filter_unique", "title": "filter_unique",
"attributes": { "attributes": {
"text": "Filters out the unique values in a list.\n\nUse a `Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the non-unique values.\n\n", "text": "Filters out the unique values in a list.\n\nUse a `collections.Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the non-unique values.\n\n",
"tags": [ "tags": [
"list", "list",
"beginner" "beginner"
] ]
}, },
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}
},
{
"id": "find_parity_outliers",
"type": "snippetListing",
"title": "find_parity_outliers",
"attributes": {
"text": "Given a list, returns the items that are parity outliers.\n\nUse `collections.Counter` with a list comprehension to count even and odd values in the list, use `collections.Counter.most_common()` to get the most common parity.\nUse a list comprehension to find all elements that do not match the most common parity.\n\n",
"tags": [
"list",
"math",
"intermediate"
]
},
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snippet_data/snippets.json
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@ -762,7 +762,7 @@
"type": "snippet", "type": "snippet",
"attributes": { "attributes": {
"fileName": "filter_non_unique.md", "fileName": "filter_non_unique.md",
"text": "Filters out the non-unique values in a list.\n\nUse a `Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the unique values.\n\n", "text": "Filters out the non-unique values in a list.\n\nUse a `collections.Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the unique values.\n\n",
"codeBlocks": { "codeBlocks": {
"code": "from collections import Counter\n\ndef filter_non_unique(lst):\n return [item for item, count in counter = Counter(lst).items() if count == 1]", "code": "from collections import Counter\n\ndef filter_non_unique(lst):\n return [item for item, count in counter = Counter(lst).items() if count == 1]",
"example": "filter_non_unique([1, 2, 2, 3, 4, 4, 5]) # [1, 3, 5]" "example": "filter_non_unique([1, 2, 2, 3, 4, 4, 5]) # [1, 3, 5]"
@ -773,11 +773,11 @@
] ]
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@ -786,7 +786,7 @@
"type": "snippet", "type": "snippet",
"attributes": { "attributes": {
"fileName": "filter_unique.md", "fileName": "filter_unique.md",
"text": "Filters out the unique values in a list.\n\nUse a `Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the non-unique values.\n\n", "text": "Filters out the unique values in a list.\n\nUse a `collections.Counter` to get the count of each value in the list.\nUse list comprehension to create a list containing only the non-unique values.\n\n",
"codeBlocks": { "codeBlocks": {
"code": "from collections import Counter\n\ndef filter_unique(lst):\n return [item for item, count in Counter(lst).items() if count > 1]", "code": "from collections import Counter\n\ndef filter_unique(lst):\n return [item for item, count in Counter(lst).items() if count > 1]",
"example": "filter_unique([1, 2, 2, 3, 4, 4, 5]) # [2, 4]" "example": "filter_unique([1, 2, 2, 3, 4, 4, 5]) # [2, 4]"
@ -797,11 +797,36 @@
] ]
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"id": "find_parity_outliers",
"title": "find_parity_outliers",
"type": "snippet",
"attributes": {
"fileName": "find_parity_outliers.md",
"text": "Given a list, returns the items that are parity outliers.\n\nUse `collections.Counter` with a list comprehension to count even and odd values in the list, use `collections.Counter.most_common()` to get the most common parity.\nUse a list comprehension to find all elements that do not match the most common parity.\n\n",
"codeBlocks": {
"code": "from collections import Counter\n\ndef find_parity_outliers(nums):\n return [\n x for x in nums\n if x % 2 != Counter([n % 2 for n in nums]).most_common()[0][0]\n ]",
"example": "find_parity_outliers([1, 2, 3, 4, 6]) # [1, 3]"
},
"tags": [
"list",
"math",
"intermediate"
]
},
"meta": {
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